Senior Edge AI Engineer
2 hours ago
Edge AI Architect Opportunity
">As a seasoned professional in Edge Computing, you will be responsible for designing and developing cutting-edge IoT solutions with AI capabilities for edge devices.
">Key aspects of this role include integrating AI-driven solutions directly into edge devices to enhance real-time data processing, reduce latency, and facilitate efficient decision-making.
">Collaborate with cross-functional teams to build scalable and resilient architectures that can handle large volumes of data generated at the edge.
">- ">
- Design and deploy large-scale, distributed Edge AI systems for real-time inference across thousands of devices.">
- Lead hardware-aware model development optimized for deployment on platforms like NVIDIA Jetson, Qualcomm Snapdragon, Intel Movidius, and ARM Cortex-A/NPU chips.">
- Develop pipelines for edge inferencing with low-latency, low-power, and high-accuracy constraints.">
- Perform performance tuning using tools like TensorRT, ONNX Runtime, TVM, and OpenVINO.">
- Build scalable, secure model deployment platforms using NVIDIA Triton, Edge Kubernetes (K3s), and MLOps frameworks.">
- Integrate AI with real-world data sources: video streams, sensor fusion (IMU, LiDAR), audio, etc.">
- Collaborate with firmware, hardware, and platform teams for system-level optimization.">
- Develop strategies for OTA model updates, fleet-wide monitoring, and privacy-preserving AI.">
- Stay ahead of emerging trends in tinyML, neural architecture search (NAS), zero-shot inference, and federated learning.">
Apply your expertise in Edge AI and IoT to drive business growth and innovation.
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